Innovating Works
HORIZON-CL4-2024-DIGITAL-EMERGING-01-04
Industrial leadership in AI, Data and Robotics boosting competiti...
ExpectedOutcome:Projects are expected to contribute to one of the two following outcomes, exclusively:
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 19-03-2024.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Hace más de 15 mes(es) del cierre y aún no tenemos información sobre los proyectos financiados, no parece que se vaya a publicar esta información.
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio.
Número mínimo de participantes.
Esta ayuda financia Proyectos:

ExpectedOutcome:Projects are expected to contribute to one of the two following outcomes, exclusively:

The creation of systems to address large scale challenges using combined robotics data and AI solutions that have significant impact on the objectives of the green deal. For example; in improving domestic energy consumption or in the cleaning up of contaminated land and waterways or in accelerating the circular economy along the complete value chain through automated waste avoidance and waste processing or reuse of materials.The creation of systems to address large scale resource optimisation challenges using combined AI and Data solutions, that have significant impact on the objectives of the green deal, such as optimisation of any kind of resources, from production to use along the complete value chain in order to minimise waste or foster the reuse of resources or in using AI and data solutions to maximize energy efficiency, ensuring energy security. Which will contribute to

The validation of solutions at scale by demonstrating the potential of integrating these technologies to address challenges in industrial ecosystems and develop solutions that are e... ver más

ExpectedOutcome:Projects are expected to contribute to one of the two following outcomes, exclusively:

The creation of systems to address large scale challenges using combined robotics data and AI solutions that have significant impact on the objectives of the green deal. For example; in improving domestic energy consumption or in the cleaning up of contaminated land and waterways or in accelerating the circular economy along the complete value chain through automated waste avoidance and waste processing or reuse of materials.The creation of systems to address large scale resource optimisation challenges using combined AI and Data solutions, that have significant impact on the objectives of the green deal, such as optimisation of any kind of resources, from production to use along the complete value chain in order to minimise waste or foster the reuse of resources or in using AI and data solutions to maximize energy efficiency, ensuring energy security. Which will contribute to

The validation of solutions at scale by demonstrating the potential of integrating these technologies to address challenges in industrial ecosystems and develop solutions that are environmental friendly and contribute to the green dealMaking and exploiting major advances in science and technology, to maintain Europe’s scientific excellence and ensure sovereignty of these key technologies expected to affect the society in contributing to addressing major societal challenges affecting the environment.Exploring deployment solutions that can ensure efficient scale up.Boosting the uptake of AI, Data and Robotics to exploit the major contribution expected to environmental sustainability. Proposals should clearly identify the outcome it will focus on.


Scope:Proposals should demonstrate the added value of integrating either AI and Data, or AI, Data and Robotics technologies through large-scale validation scenarios reaching critical mass and mobilising the user industry, while demonstrating high potential impact contributing to the European Green Deal objectives. For example in the recycling of electric car batteries, cleaning and monitoring the oceans, decommissioning energy infrastructure, supporting the recycling of materials, the optimisation of energy usage, the minimisation of resource waste in value-chains, for example through the better adaption of production to demand, etc.

Focus should be given to attracting new user industries, and/or showing new business opportunities to boost the uptake of AI, Data and Robotics in major sectors and stimulate the involvement where appropriate of end-users to define the technological barriers to uptake and the use cases for deployment.

Proposals should address the involvement of SMEs and/or start-ups with significant potential to foster innovation through their engagement with large scale pilots. Focus will be on leveraging and nurturing emerging collaborations between stakeholder communities shaping an effective eco-system fit for the challenge of European AI, Data, Robotics, and on accelerating European R&I through structural involvement of innovative SME and deep-tech start-ups.

Proposals should target sectors and application domains with wide-scale deployment potential and maximum contribution to the green deal.

Multidisciplinary innovation activities should address one of the following:

Large scale pilots bringing major industries from key application sectors in Europe – facilitating collaboration between small and large companies with the goal of exploiting and integrating existing tools, sub-systems and solutions that are re-usable from other sectors (thereby showing scalability/versatility, and enabling economies of scale) to have significant impact on the objectives of the green deal. The focus will be on the integration of tools, systems sub-systems and solution in the pilot by the grant beneficiaries. In this case, proposals are not expected to involve the use of financial support to third parties.The development of large-scale pilots addressing key applications with a significant and scalable impact on the objectives of the green deal by facilitating collaboration between small and large companies able address key challenges in the deployment of AI, Data and Robotics. Financial Support to Third Parties: Projects should use FSTP to leverage novel technical advantage to address the operation of the pilot and to thereby support end users and service providers in addressing the challenges of the green deal. Third parties are expected to use the pilots for developing, testing and validating innovative solutions with significant impact on the green deal. Proposals should clearly delineate the expected contributions from the main beneficiaries as well as from the third parties, to ensure their coherence and impact. 40% of the EU funding requested by the proposal should be allocated to the purpose of financial support to third parties.

Proposals should either involve directly, or indirectly, appropriate expertise in other relevant disciplines for example related to environmental science and, as necessary, Social Sciences and Humanities (SSH) disciplines, especially where this is relevant to validating the effectiveness of proposed systems and technologies with respect to the green deal objectives.

Proposals should include a clear business case and exploitation strategy.

All proposals are expected to embed mechanisms to assess and demonstrate progress (with qualitative and quantitative KPIs, benchmarking and progress monitoring, as well as illustrative application use-cases demonstrating well defined added value to end users), and share communicable results with the European R&D community, through the AI-on-demand platform and/or the Digital Industrial Platform for Robotics, public community resources, to maximise re-use of results, either by developers, or for uptake, and optimise efficiency of funding; enhancing the European AI, Data and Robotics ecosystem through the sharing of results and best practice.

This topic implements the co-programmed European Partnership on AI, data and robotics.


Specific Topic Conditions:Activities are expected to start at TRL 3-5 and achieve TRL 6-7 by the end of the project – see General Annex B.




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Temáticas Obligatorias del proyecto: Temática principal:
The text outlines that projects should focus on addressing large-scale challenges using combined robotics, data, and AI solutions to impact the European Green Deal objectives positively. The aim is to validate solutions at scale, make advances in science and technology, and boost the uptake of AI, Data, and Robotics for environmental sustainability in various sectors. The text outlines that projects should focus on addressing large-scale challenges using combined robotics, data, and AI solutions to impact the European Green Deal objectives positively. The aim is to validate solutions at scale, make advances in science and technology, and boost the uptake of AI, Data, and Robotics for environmental sustainability in various sectors.
Artificial Intelligence Robotics for healthcare Mapping Robotics for manufacturing Co-programmed European Partnerships Computer graphics computer vision multi media c Robotics for marketing Man Machine interface Warehousing Robotics for fishing Robotics for emergency services Robotics for environment Cognitive architectures Human robot collaboration Therapy and rehabilitation Robotics for inspection and monitoring Robotics for commercial applications Digital Agenda Domestic appliances Robotics for law enforcement Robotics for utilities and service Motion planning Surgical robotics System design Knowledge representation and reasoning Robotic cognition Learning development and adaptation Robot safety Robotic actuators Machine learning statistical data processing and Signal interpretation Software engineering operating systems computer Cognitive science Robotic sensors Action planning Robotics for education Craft and bespoke manufacture Automation and control systems Robotics for transport and logistics Robotics for civil engineering Robotics for mining and quarrying Robotics for consumer applications Industrial robot Robotics for animal production Mechatronics Artificial intelligence intelligent systems mult Computer sciences information science and bioinfo Food processing Robotics for entertainment Robot navigation Human robot interaction RePowerEU Robotics for agriculture System engineering Robotics for training Robotics for science Support System integration Robotics for goods transport Localisation Robotic control Robotics for construction Assistive robotics Robotic communication Robotics for people transport Robotic perception Robotics and automatic control Natural interaction Robotics for forestry Soft products manufacture System architecture Robotics for civil applications Robotics for agriculture forestry and fishing Robotics Social sciences and humanities Assistive living Sensing Robotics for search and rescue Power supply Modelling and knowledge engineering Mechanical structures of robots Robotics for monitoring and security Robotic system development AI Data Robotics large-scale challenges green deal AI solutions resource optimisation challenges environmental sustainability European Green Deal objectives technological barriers scalability versatility re-usable solutions large-scale pilots end users service providers financial support to third parties environmental science Social Sciences Humanities business case exploitation strategy progress monitoring KPIs benchmarking AI-on-demand platform Digital Industrial Platform for Robotics European Partnership on AI data and robotics ecosystem. Data European Green Deal AI Solutions Environmental Sustainability Large-scale Challenges Green Deal Objectives Technological Barriers Scalability Data Computer vision Multi media Development and adaptation Statistical data processing Operating systems Computer Robot human interaction Statistical data processing Large-scale challenges Green Deal Resource optimisation challenges Environmental sustainability European Green Deal objectives Technological barriers Versatility Re-usable solutions Large-scale pilots End users Service providers Financial support to third parties Environmental science Social Sciences Humanities Business case Exploitation strategy Progress monitoring KPIs Benchmarking AI-on-demand platform Digital Industrial Platform for Robotics European Partnership on AI Data and robotics Ecosystem Computer Vision Machine Learning Human-Robot Interaction Automation and Control Systems

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño por participante: *Presupuesto para cada participante en el proyecto
Requisitos técnicos: 1. Robotics 2. AI 3. Data 4. Solutions 5. Green Deal 6. Circular Economy 7. Energy Efficiency 8. Resource Optimization 9. Scalability 10. Sustainability 11. Environmental Impact 12. Deployment Solutions 13. Innovation 14. SMEs 15. Start-ups 16. Collaboration 17. European Green Deal 18. Large-Scale Pilots 19. Business Opportunities 20. Social Sciences and Humanities 1. Robotics
2. AI
3. Data
4. Solutions
5. Green Deal
6. Circular Economy
7. Energy Efficiency
8. Resource Optimization
9. Scalability
10. Sustainability
11. Environmental Impact
12. Deployment Solutions
13. Innovation
14. SMEs
15. Start-ups
16. Collaboration
17. European Green Deal
18. Large-Scale Pilots
19. Business Opportunities
20. Social Sciences and Humanities
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Gastos relacionados con el personal que trabaja directamente en el proyecto basado en las horas efectivas dedicadas, basado en el coste empresa y ratios fijos para determinados empleados como los dueños de la compañía.
Subcontracting costs.
Pagos a terceros externos para realizar tareas específicas que no pueden ser realizadas por los beneficiarios del proyecto.
Purchase costs.
Incluyen la adquisición de equipos, amortizaciones, material, licencias u otros bienes y servicios necesarios para la ejecución del proyecto
Other cost categories.
Gastos diversos como costes financieros, certificados de auditoría o participación en eventos no cubiertos por otras categorías
Indirect costs.
Gastos generales no asignables directamente al proyecto (como electricidad, alquiler u oficina), calculados como un 25% fijo sobre los costes directos elegibles (excepto subcontratación).
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 6:. Se cuenta con prototipos piloto capaces de desarrollar todas las funciones necesarias dentro de un sistema determinado, habiendo superado pruebas de factibilidad en condiciones de operación o funcionamiento real. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
Para el presupuesto subvencionable la intensidad de la ayuda en formato fondo perdido podrá alcanzar desde un 70% hasta un 100%.
The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities. The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities.
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
No conocemos el presupuesto total de la línea
Proyectos financiables en esta convocatoria.
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.
Certificado DNSH: Los proyectos presentados a esta línea deben de certificarse para demostrar que no causan perjuicio al medio ambiente. + info

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
Deducción I+D+i:
La empresa puede aplicar deducciones fiscales en I+D+i de los gastos del proyecto y reducir su impuesto de sociedades. + info
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